toolbox

一个持续沉淀的日常工具箱,汇集脚本、配置模板、运维辅助工具和文件处理脚本,方便快速复用与维护。

A new way for AI to search for data
View on GitHub
2GitHub stars

Python

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit 7cc5b61852 (2026-10-20).

Selected work

linksinke
@linksinke

“新增mysql库表结构导出工具”. 8 files, 1,059 lines in dev工具集.

Licence

The repository

MIT

Checked by a person at the pinned commit.

The XERJ corpus

MIT, with credit

The author agreed by email on 2026-10-20. Same terms as the repository. Answers name the repo, the commit and the file:line.

in licence reviewnot in the hub yetsuggested use: adapt with attribution

Example questions

The prompt

Paste it into your AI agent. It clones linksinke/toolbox at the pinned commit and indexes it on your machine.

Search the GitHub repository linksinke/toolbox with XERJ (https://hub.xerj.org/corpus/linksinke--toolbox).
Run these in a shell, in order, and check each result before the next:
1. xerj --help  (success: it prints usage). If xerj is missing: curl -fsSL https://xerj.org/get | sh
2. git clone https://github.com/linksinke/toolbox toolbox && git -C toolbox checkout 7cc5b6185221ab20d2af967eaa50348ec52411b2
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./toolbox --url http://127.0.0.1:9200 --prefix toolbox --progress plain
5. xerj autoindex map --url http://127.0.0.1:9200
Then answer my question from the indexed files and cite the ax_path of every hit. Query syntax: https://xerj.org/llms.txt
Licence: MIT. Keep the copyright notice and credit the authors.

Related

Selected work and consent: the XERJ registry.